Hi Matthias,
I use good ol' (SPSS 14) TABLES, so I don't usually save MRSETS but
define them on the fly with /MRGROUP; I guess CTABLES give similar results.
Often I prefer to translate my MR variables to MD format like this
(suppose codes with max code 100, and suppose max 10 answers):
VECTOR bin (100) /* max code */.
DO REPEAT mr = mr1 TO mr10 /* input vars */.
+ DO IF NOT MISSING(mr).
+ COMPUTE bin(mr) = 1.
+ END IF.
END REPEAT.
RECODE bin1 TO bin100 /* max code again */ (SYSMIS=0) (1=1) /* or
for readability (1=100) */.
The tedious part is converting VAL LAB 1 "Alfa Romeo" 2 "Audi" etc. into
VAR LAB bin1 "Alfa Romeo" /bin2 "Audi" etc., but once this is done you
can use MEANS or DESCRIPTIVES in combination with SPLIT FILE to live
without (C)TABLES and without SPSS(C).
HTH
frans
On 08/01/2015 21:44, Matthias Faeth wrote:
Yes I could use count, but the problem with open questions is that I
usually have a codeplan with up to 100 codes. That makes it tedious to
use your solution. And it would not produce 1 comprehensive table.
Matthias Fäth
Im Mediapark 12
50670 Köln
t: 0221-2907973
m: 0171-9832175
e: m.fa...@gmx.de <mailto:m.fa...@gmx.de>
2015-01-08 19:16 GMT+01:00 Alan Mead <ame...@alanmead.org
<mailto:ame...@alanmead.org>>:
FWIW, I don't understand your example and I tried to run your
example, but my license of SPSS does not include CTABLES.
If you wanted to know how many 1's in variables 83 to 84, you
could use these two lines:
count NUMLIKES = var82 to var84 (1).
FREQ/ NUMLIKES.
And I suspect that you could do a crosstabs with NUMLIKES and get
the same kind of information as CTABLES.
-Alan
On 1/8/2015 11:31 AM, Matthias Faeth wrote:
Well I use MRSETS usually for open questions. Here the issue is,
that each code can be on any variable in the set in arbitrary order.
e.g. "Likes" get 3 possible variables var82 var83 var84.
Case A: 1 2 3
Case B: 4 1 5
Case C: 5 6 1
I define the Mult Response Group:
MRSETS
/mcgroup name=$Likes VARIABLES =var82 var83 var84.
And make a table which would tell me that 1 is in every case (for
each pack which is here var80)
CTABLES
/VLABELS VARIABLES=$likes DISPLAY=none
/table $likes by var80
/CATEGORIES VARIABLES=$likes totals=yes EMPTY=EXCLUDE
/TITLES TITLE = 'Likes Pack'
.
As far as I know, PSPP does not support this.
Matthias Fäth
Im Mediapark 12
50670 Köln
t: 0221-2907973 <tel:0221-2907973>
m: 0171-9832175 <tel:0171-9832175>
e: m.fa...@gmx.de <mailto:m.fa...@gmx.de>
2015-01-08 17:21 GMT+01:00 Alan Mead <ame...@alanmead.org
<mailto:ame...@alanmead.org>>:
I've used SPSS to analyze multiple response data for years
(decades, actually) but never used MULT RESPONSE. I was
curious what I was missing, so I watched this video:
https://www.youtube.com/watch?v=-toBCDscCwQ and I'm still a
bit confused. You get the same data by running frequencies
on the four variables independently, right?
If each response is optional, then one thing that is a bit of
a PITA is detecting non-response, but that's not a big deal.
For example, if the four possible responses to Q12 are
encoded 1/0 in Q12A, Q12B, Q12C, and Q12D, then you can do this:
count Q12MISS = Q12A A12B Q12C Q12D (1).
execute.
Everyone with Q12MISS=0 didn't respond to the question. For
some questions, this is more important than individual
responses (other times not).
I'm not arguing against including it in PSPP, I'm just
curious why it's an issue because it seems like it's really,
really easy to get along without. What am I missing?
BTW, there is another issue of multiple responses that
DOESN'T work this way. When you have a test question labeled
"Mark all that apply" and if your scoring is all or nothing
then it's actually easier to handle this as a string. If
they marked A, B and E on Q12, you encode their response as
'ABE'. Later you score it: "recode Q12 ('ABC'=1) (else=0)
into Q12.Scored." If you're going to give partial credit for
individual responses, it's usually easier to enter the
individual responses as independent variables, but you could
create them using string functions. So, again, SPSS without
MULT RESPONSE seems perfectly adequate and MULT RESPONSE
doesn't actually handle all multiple-responses situations.
-Alan
On 1/8/2015 8:22 AM, Matthias Faeth wrote:
I would support that. Multi Response is the one procedure
that lets me stick to SPSS. I'm not a progammer but would
help with testing and comparing.
Matthias Fäth
Im Mediapark 12
50670 Köln
t: 0221-2907973 <tel:0221-2907973>
m: 0171-9832175 <tel:0171-9832175>
e: m.fa...@gmx.de <mailto:m.fa...@gmx.de>
2015-01-08 14:36 GMT+01:00 news <news....@free.fr
<mailto:news....@free.fr>>:
On 08/01/2015 06:54, Ben Pfaff wrote:
On Wed, Jan 07, 2015 at 12:32:26AM +0100, F. Thomas
wrote:
I found the MRSETS command which allows to
analyse multiple reponse
questions;
But the MULT RESPONSE command has not yet been
implemented, according to the
manual.
So how to analyse mult response questions ? What
can you do with MRSETS when
you have no Mult response frequencies or tables ?
There is no such functionality yet. MRSETS is
implemented to allow the
.sav file format to be more completely supported,
but multiple response
sets are not otherwise useful.
This is a pity. The multiple response format is a widely
used in survey research and few stats programs have a
proc to analyse them.
Having this opportunity in PSPP would strongly increase
its usefulness for a wider audience.
And what does the cryptic sentence mean (manual
p.113)
Otherwise, multiple response sets are currently
used only by third party
software.
Could you please be more specific ? Which third
party software do you mean ?
Software other than PSPP.
This was already evident to me. But which one ? SPSS ?
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science + technology = better workers
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Announcing the Journal of Computerized Adaptive Testing (JCAT), a
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--
Alan D. Mead, Ph.D.
President, Talent Algorithms Inc.
science + technology = better workers
+815.588.3846 (Office)
+267.334.4143 (Mobile)
http://www.alanmead.org
Announcing the Journal of Computerized Adaptive Testing (JCAT), a
peer-reviewed electronic journal designed to advance the science and
practice of computerized adaptive testing:http://www.iacat.org/jcat
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